Wireless cellular communications is witnessing a rapid growth in, and demand for,
improved technology and range of information types and services. Future third
generation cellular networks are expected to provide mobile users with ubiquitous
wireless access to a global backbone architecture that carries a wide variety of electronic
services. This thesis examines the topic of multiple access protocols and models
suitable for modem third-generation wireless networks.
The major part of this thesis is based on a proposed Medium Access Control (MAC)
protocol for a Code Division Multiple Access (CDMA) data packet radio network, as
CDMA technology is proving to be a promising and attractive approach for spectrally
efficient, economical and high quality digital communications wireless networks. The
proposed MAC policy considers a novel dual CDMA threshold model based on the
Multiple Access Interference (MAl) capacity of the system. This protocol is then
extended to accommodate a mixed voice/data traffic network in which variable length
data messages share a common CDMA channel with voice users, and where the voice
activity factor of human speech is exploited to improve the data network performance.
For the protocol evaluation, the expected voice call blocking probability, expected data
throughput and expected data message delay are considered, for both a perfect channel
and a correlated Rayleigh fading channel. In particular, it is shown that a significant
performance enhancement can be made over existing admission policies through the
implementation of a novel, dynamic, load-dependent blocking threshold in conjunction
with a fixed CDMA multiple access threshold that is based on the maximum acceptable
level of MAl. / Thesis (Ph.D.)-University of Natal, Durban, 1999.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/6897 |
| Date | January 1999 |
| Creators | Judge, Garth. |
| Contributors | Takawira, Fambirai. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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